Abstract: In this study, we present a scalable method for modeling and visualizing large-scale industrial sensor networks using Graph Neural Network (GNN) principles. By applying the K-Nearest ...

Abstract: Modern mechanical equipment increasingly relies on multi-sensor data for health monitoring, which generates complex, heterogeneous, non-Euclidean data that conventional methods struggle to ...

If you build engines, tune cars, or even just like mashing your foot on the throttle with conviction, you’ve probably heard the term “wideband O2 sensor” being thrown around at the track, dyno ...

I live in New Jersey, one of the states that mandates inspection for all vehicles newer than 1995. My daily driver, a Jeep Cherokee, happens to be a 1996 model year with an OBD-II sensor, meaning I ...

For years we've heard once coaching staff after another say the Raiders are *so close*. That they're just one or two plays or one or two players away from putting it ...

Modern vehicles are equipped with advanced diagnostic systems designed to alert drivers to potential issues before they become serious problems. For Mitsubishi owners, understanding these diagnostics ...

The camshaft position sensor is an essential component of your car’s engine management system. It monitors the position and speed of the camshaft and sends this data to the engine control unit (ECU), ...

The automotive industry is no stranger to software. For decades, digital modules have made cars safer, more predictable, and—especially with recent advances in traction and stability control—faster.

Diagnosing diabetes could soon be as easy as breathing. Researchers at Penn State have developed a sensor that detects acetone in breath, offering a fast, inexpensive way to identify diabetes and ...

Think of it as Google Maps for your lungs. In 64 California communities, including more than a dozen in the Inland Empire, cars resembling the self-driven Waymo rideshare vehicles are driving precise ...

A team of researchers report in the Proceedings of the National Academy of Sciences on a new graphene-based sensor design that, through machine learning, was able to develop a near-human sense of ...